• When emailing your instructor, please make sure to do the following:
  • Always email from your NCTC student email
  • In the email, state the course and section number

SYLLABUS CHANGE DISCLAIMER

The faculty member reserves the right to make changes to this published syllabus if it is in the best interest of the educational development of this class. Any such changes will be announced as soon as possible in person and/or writing.

STUDENT HOURS (OFFICE HOURS)

Each week instructors have time set aside to meet with students outside of class. (Traditionally these times are called “office hours”.) This is a time when a student may ask questions regarding the class, or discuss a particular problem/topic with an instructor one-on-one.  Student hours may be held in-person or online.  See below for instructions on where/when/how instructors will offer student hours in this class.

Office hours for students:

• Online/Virtual Office Hours - via Email/Canvas/WebEx:     

• Monday/Wednesday 9:00am-1:00pm       
• Tuesday/Thursday by appointment only

• On Campus Office Hours by Appointment - Denton Campus/RM 214

• Tuesday/Thursday 11:00am-12:00pm       

<< For online office hours, students can schedule an appointment by selecting the Cisco Webex option in our Canvas course and navigating to the “Office Hour” tab.  The times that the instructor is available will be displayed there and a student may schedule a meeting by choosing a time and selecting “Confirm Meeting” at the bottom of the page.>>

MATH TUTORING LAB

Students who need help with any math class can visit the NCTC Mathematics Lab to receive assistance.  There are math tutors available on most campuses and online.  This service is free for all students enrolled in an NCTC math class. Sign up for an appointment or see the most current tutoring hours for all campuses at www.nctc.edu/math-lab. 

SUMMARY OF COURSE ASSIGNMENTS

Final grade scale:  90 – 100% = A;   80 – 89% = B; 70 – 79% = C;  60 – 69% = D;  Below 60% = F

*The final exam is a departmental comprehensive statistics exam and must be taken by all students. The final exam may also be used to replace the lowest unit quiz grade.

Late work policy: Homework and Chapter Quizzes(In MSL) may be worked on past their due date with a 10% late grade penalty.  No Make-up Unit Tests or Final Exam will be allowed.  They must be completed on their scheduled date.

After the final exam there is NO more work a student can do to improve their grade.

SEE CANVAS FOR THE COMPLETE COURSE CALENDAR, OUTLINE, DETAILED DESCRIPTION OF GRADED WORK, AND OTHER RELATED MATERIAL.

COURSE POLICIES

Academic Integrity Policy:

Scholastic dishonesty shall include, but is not limited to cheating, plagiarism, academic falsification, intellectual property dishonesty, academic dishonesty facilitation, and collusion.  The use of online math solvers with submitted work is considered academic dishonesty.  Faculty members may document and bring charges against a student who is engaged in or is suspected to be engaged in academic dishonesty.  See Student Handbook, “Student Rights & Responsibilities: Student Code of Conduct ([FLB(LOCAL)]”.  

Consequences for academic dishonesty may include:

1. Zero on the assignment
2. Failing grade for the course

Attendance Policy: 

Regular attendance is expected and necessary for student success in this course. For more information on attendance regulations please see the 2024-2025 NCTC Catalog.  (Attendance Regulations – NCTC Catalog)

Withdrawal Policy:

A student may withdraw from a course on or after the official date of record. It is the student’s responsibility to initiate and complete a Withdrawal Request Form.

Last day to withdraw from a 16-week course with a “W” is: Monday, November 3, 2025

Student Learning Outcomes:  At the successful completion of this course the student will be able to:

1. Explain the use of data collection and statistics as tools to reach reasonable conclusions.
2. Recognize, examine, and interpret the basic principles of describing and presenting data.
3. Compute and interpret empirical and theoretical probabilities using the rules of probabilities and combinatorics.
4. Explain the role of probability in statistics.
5. Examine, analyze, and compare various sampling distributions for both discrete and continuous random variables.
6. Describe and compute confidence intervals.
7. Solve linear regression and correlation problems.
8. Perform hypothesis testing using statistical methods.

Core Objectives:

X    Critical Thinking

X    Communication

X    Empirical and Quantitative

Teamwork

Personal Responsibility

Social Responsibility

COLLEGE POLICIES